{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Table of Contents\n",
    "* [Intro](#Intro)\n",
    "\t* [Topic](#Topic)\n",
    "* [Sec 1](#Sec-1)\n",
    "* [Sec 2](#Sec-2)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Intro"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Brief explanation of what this notebook is about (needs to be expanded when content is added)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-09-15T15:58:13.785614",
     "start_time": "2017-09-15T15:58:13.778613"
    }
   },
   "source": [
    "Exploratory notebook related to the theory and concepts behind []. Includes toy examples implementation and visualization."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Topic"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Possible first definition for the topic discussed]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt, animation\n",
    "\n",
    "%matplotlib notebook\n",
    "#%matplotlib inline\n",
    "\n",
    "sns.set_context(\"paper\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# interactive imports\n",
    "import plotly\n",
    "import cufflinks as cf\n",
    "cf.go_offline(connected=True)\n",
    "plotly.offline.init_notebook_mode(connected=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sec 1"
   ]
  }
 ],
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